New library for ChatGPT Reatime audio Audio

We have updated our ESP Muse library to support OpenAi Chatgpt Voice application

You have the freedom to choose between the two architectures:

Demo 1: Realtime API using WebSockets
Ultra-fast response times, ideal for interactive voice assistants.

Demo 2: Chained architecture — processes audio step by step:
:studio_microphone: Audio → Text → LLM response → Text-to-Speech
A little slower (2–3 seconds of latency), but extremely cost-effective to run.

Unlike many examples you can find online that require a local or cloud server to do all the heavy lifting, this library allows the ESP32 itself to communicate directly with the OpenAI API. No intermediate server, no complicated setup — just your device and the API.

The big advantage of this library is that it works directly with Arduino — no need to use the ESP-IDF, which can often be complex and time-consuming to set up. With this library, you can prototype and run AI-powered voice applications on your ESP32 in just a few minutes.

This library is compatible with the full ESP Muse product line:

  • Muse Luxe
  • Muse Radio
  • Muse Proto
  • Muse Manga

Our hope is that this release will help you experiment with new AI-driven audio applications — projects that could truly transform the way we interact with technology in our daily lives.